初始化项目，由ModelHub XC社区提供模型

Model: Karlzhy/Content_Review_Model
Source: Original Platform

1.py

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+import json
+import random
+from datasets import Dataset, DatasetDict
+from sklearn.model_selection import train_test_split
+
+# ✅ 加载 train.jsonl
+with open("train.jsonl", "r", encoding="utf-8") as f:
+    samples = [json.loads(line.strip()) for line in f]
+
+print(f"总样本数: {len(samples)}")
+
+# ✅ 随机划分为训练集 / 验证集
+train_data, val_data = train_test_split(samples, test_size=0.1, random_state=42)
+
+# ✅ 转换为 HF Dataset
+dataset = DatasetDict({
+    "train": Dataset.from_list(train_data),
+    "validation": Dataset.from_list(val_data)
+})
+
+# ✅ 保存到磁盘（可选）
+dataset.save_to_disk("qwen_classification_dataset")
+
+print("✅ 已保存 HuggingFace Dataset 到 ./qwen_classification_dataset")